code: def _copy(cls, arg0, arg1):
      if not (isinstance(arg0, cls) and isinstance(arg1, cls)):
          return NotImplemented
      assert arg0.shape == arg1.shape
      av0, av1 = arg0.__values, arg1.__values
      av0.resize_as_(av1).copy_(av1)
      av0, av1 = arg0.__row_indices, arg1.__row_indices
      av0.resize_as_(av1).copy_(av1)
      av0, av1 = arg0.__row_offsets, arg1.__row_offsets
      av0.resize_as_(av1).copy_(av1)
      av0, av1 = arg0.__column_indices, arg1.__column_indices
      av0.resize_as_(av1).copy_(av1)
      for v0, v1 in zip(arg0.__transp_info, arg1.__transp_info):
          v0.resize_as_(v1).copy_(v1)
      return arg0
  
imports: import torch
  from xformers.ops import masked_matmul
  from xformers.sparse import _csr_ops
  from xformers.sparse.utils import _csr_to_coo, _dense3d_to_sparse, _diffsort, _get_transpose_info, _transpose_with_info
label_desc: Use image node_id 17 for calling the SparseCSRTensor obj's underlying member method code with example usage: obj._copy(cls, arg0, arg1) and returns: arg0, NotImplemented